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daa2345
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add dataset load configs

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  1. README.md +322 -202
README.md CHANGED
@@ -79,276 +79,396 @@ configs:
79
  - data/063_Influencers/qa.parquet
80
  - data/064_Clustering/qa.parquet
81
  - data/065_RFM/qa.parquet
82
- - config_name: 008_Tornados
83
  data_files:
84
  - split: full
85
- path: data/008_Tornados/all.parquet
86
  - split: lite
87
- path: data/008_Tornados/sample.parquet
88
- - config_name: data
89
  data_files:
90
- - split: 001_Forbes
91
- path: data/001_Forbes/all.parquet
92
- - split: 002_Titanic
93
  path: data/002_Titanic/all.parquet
94
- - split: 003_Love
 
 
 
 
95
  path: data/003_Love/all.parquet
96
- - split: 004_Taxi
 
 
 
 
97
  path: data/004_Taxi/all.parquet
98
- - split: 005_NYC
 
 
 
 
99
  path: data/005_NYC/all.parquet
100
- - split: 006_London
 
 
 
 
101
  path: data/006_London/all.parquet
102
- - split: 007_Fifa
 
 
 
 
103
  path: data/007_Fifa/all.parquet
104
- - split: 008_Tornados
 
 
 
 
105
  path: data/008_Tornados/all.parquet
106
- - split: 009_Central
 
 
 
 
107
  path: data/009_Central/all.parquet
108
- - split: 010_ECommerce
 
 
 
 
109
  path: data/010_ECommerce/all.parquet
110
- - split: 011_SF
 
 
 
 
111
  path: data/011_SF/all.parquet
112
- - split: 012_Heart
 
 
 
 
113
  path: data/012_Heart/all.parquet
114
- - split: 013_Roller
 
 
 
 
115
  path: data/013_Roller/all.parquet
116
- - split: 014_Airbnb
 
 
 
 
117
  path: data/014_Airbnb/all.parquet
118
- - split: 015_Food
 
 
 
 
119
  path: data/015_Food/all.parquet
120
- - split: 016_Holiday
 
 
 
 
121
  path: data/016_Holiday/all.parquet
122
- - split: 017_Hacker
 
 
 
 
123
  path: data/017_Hacker/all.parquet
124
- - split: 018_Staff
 
 
 
 
125
  path: data/018_Staff/all.parquet
126
- - split: 019_Aircraft
 
 
 
 
127
  path: data/019_Aircraft/all.parquet
128
- - split: 020_Real
 
 
 
 
129
  path: data/020_Real/all.parquet
130
- - split: 021_Telco
 
 
 
 
131
  path: data/021_Telco/all.parquet
132
- - split: 022_Airbnbs
 
 
 
 
133
  path: data/022_Airbnbs/all.parquet
134
- - split: 023_Climate
 
 
 
 
135
  path: data/023_Climate/all.parquet
136
- - split: 024_Salary
 
 
 
 
137
  path: data/024_Salary/all.parquet
138
- - split: 025_Data
 
 
 
 
139
  path: data/025_Data/all.parquet
140
- - split: 026_Predicting
 
 
 
 
141
  path: data/026_Predicting/all.parquet
142
- - split: 027_Supermarket
 
 
 
 
143
  path: data/027_Supermarket/all.parquet
144
- - split: 028_Predict
 
 
 
 
145
  path: data/028_Predict/all.parquet
146
- - split: 029_NYTimes
 
 
 
 
147
  path: data/029_NYTimes/all.parquet
148
- - split: 030_Professionals
 
 
 
 
149
  path: data/030_Professionals/all.parquet
150
- - split: 031_Trustpilot
 
 
 
 
151
  path: data/031_Trustpilot/all.parquet
152
- - split: 032_Delicatessen
 
 
 
 
153
  path: data/032_Delicatessen/all.parquet
154
- - split: 033_Employee
 
 
 
 
155
  path: data/033_Employee/all.parquet
156
- - split: 034_World
 
 
 
 
157
  path: data/034_World/all.parquet
158
- - split: 035_Billboard
 
 
 
 
159
  path: data/035_Billboard/all.parquet
160
- - split: 036_US
 
 
 
 
161
  path: data/036_US/all.parquet
162
- - split: 037_Ted
 
 
 
 
163
  path: data/037_Ted/all.parquet
164
- - split: 038_Stroke
 
 
 
 
165
  path: data/038_Stroke/all.parquet
166
- - split: 039_Happy
 
 
 
 
167
  path: data/039_Happy/all.parquet
168
- - split: 040_Speed
 
 
 
 
169
  path: data/040_Speed/all.parquet
170
- - split: 041_Airline
 
 
 
 
171
  path: data/041_Airline/all.parquet
172
- - split: 042_Predict
 
 
 
 
173
  path: data/042_Predict/all.parquet
174
- - split: 043_Predict
 
 
 
 
175
  path: data/043_Predict/all.parquet
176
- - split: 044_IMDb
 
 
 
 
177
  path: data/044_IMDb/all.parquet
178
- - split: 045_Predict
 
 
 
 
179
  path: data/045_Predict/all.parquet
180
- - split: "046_120"
 
 
 
 
181
  path: data/046_120/all.parquet
182
- - split: 047_Bank
 
 
 
 
183
  path: data/047_Bank/all.parquet
184
- - split: 048_Data
 
 
 
 
185
  path: data/048_Data/all.parquet
186
- - split: 049_Boris
 
 
 
 
187
  path: data/049_Boris/all.parquet
188
- - split: 050_ING
 
 
 
 
189
  path: data/050_ING/all.parquet
190
- - split: 051_Pokemon
 
 
 
 
191
  path: data/051_Pokemon/all.parquet
192
- - split: 052_Professional
 
 
 
 
193
  path: data/052_Professional/all.parquet
194
- - split: 053_Patents
 
 
 
 
195
  path: data/053_Patents/all.parquet
196
- - split: 054_Joe
 
 
 
 
197
  path: data/054_Joe/all.parquet
198
- - split: 055_German
 
 
 
 
199
  path: data/055_German/all.parquet
200
- - split: 056_Emoji
 
 
 
 
201
  path: data/056_Emoji/all.parquet
202
- - split: 057_Spain
 
 
 
 
203
  path: data/057_Spain/all.parquet
204
- - split: 058_US
 
 
 
 
205
  path: data/058_US/all.parquet
206
- - split: 059_Second
 
 
 
 
207
  path: data/059_Second/all.parquet
208
- - split: 060_Bakery
 
 
 
 
209
  path: data/060_Bakery/all.parquet
210
- - split: 061_Disneyland
 
 
 
 
211
  path: data/061_Disneyland/all.parquet
212
- - split: 062_Trump
 
 
 
 
213
  path: data/062_Trump/all.parquet
214
- - split: 063_Influencers
 
 
 
 
215
  path: data/063_Influencers/all.parquet
216
- - split: 064_Clustering
 
 
 
 
217
  path: data/064_Clustering/all.parquet
218
- - split: 065_RFM
 
 
 
 
219
  path: data/065_RFM/all.parquet
220
- - config_name: data_lite
221
- data_files:
222
- - split: 001_Forbes
223
- path: data/001_Forbes/sample.parquet
224
- - split: 002_Titanic
225
- path: data/002_Titanic/sample.parquet
226
- - split: 003_Love
227
- path: data/003_Love/sample.parquet
228
- - split: 004_Taxi
229
- path: data/004_Taxi/sample.parquet
230
- - split: 005_NYC
231
- path: data/005_NYC/sample.parquet
232
- - split: 006_London
233
- path: data/006_London/sample.parquet
234
- - split: 007_Fifa
235
- path: data/007_Fifa/sample.parquet
236
- - split: 008_Tornados
237
- path: data/008_Tornados/sample.parquet
238
- - split: 009_Central
239
- path: data/009_Central/sample.parquet
240
- - split: 010_ECommerce
241
- path: data/010_ECommerce/sample.parquet
242
- - split: 011_SF
243
- path: data/011_SF/sample.parquet
244
- - split: 012_Heart
245
- path: data/012_Heart/sample.parquet
246
- - split: 013_Roller
247
- path: data/013_Roller/sample.parquet
248
- - split: 014_Airbnb
249
- path: data/014_Airbnb/sample.parquet
250
- - split: 015_Food
251
- path: data/015_Food/sample.parquet
252
- - split: 016_Holiday
253
- path: data/016_Holiday/sample.parquet
254
- - split: 017_Hacker
255
- path: data/017_Hacker/sample.parquet
256
- - split: 018_Staff
257
- path: data/018_Staff/sample.parquet
258
- - split: 019_Aircraft
259
- path: data/019_Aircraft/sample.parquet
260
- - split: 020_Real
261
- path: data/020_Real/sample.parquet
262
- - split: 021_Telco
263
- path: data/021_Telco/sample.parquet
264
- - split: 022_Airbnbs
265
- path: data/022_Airbnbs/sample.parquet
266
- - split: 023_Climate
267
- path: data/023_Climate/sample.parquet
268
- - split: 024_Salary
269
- path: data/024_Salary/sample.parquet
270
- - split: 025_Data
271
- path: data/025_Data/sample.parquet
272
- - split: 026_Predicting
273
- path: data/026_Predicting/sample.parquet
274
- - split: 027_Supermarket
275
- path: data/027_Supermarket/sample.parquet
276
- - split: 028_Predict
277
- path: data/028_Predict/sample.parquet
278
- - split: 029_NYTimes
279
- path: data/029_NYTimes/sample.parquet
280
- - split: 030_Professionals
281
- path: data/030_Professionals/sample.parquet
282
- - split: 031_Trustpilot
283
- path: data/031_Trustpilot/sample.parquet
284
- - split: 032_Delicatessen
285
- path: data/032_Delicatessen/sample.parquet
286
- - split: 033_Employee
287
- path: data/033_Employee/sample.parquet
288
- - split: 034_World
289
- path: data/034_World/sample.parquet
290
- - split: 035_Billboard
291
- path: data/035_Billboard/sample.parquet
292
- - split: 036_US
293
- path: data/036_US/sample.parquet
294
- - split: 037_Ted
295
- path: data/037_Ted/sample.parquet
296
- - split: 038_Stroke
297
- path: data/038_Stroke/sample.parquet
298
- - split: 039_Happy
299
- path: data/039_Happy/sample.parquet
300
- - split: 040_Speed
301
- path: data/040_Speed/sample.parquet
302
- - split: 041_Airline
303
- path: data/041_Airline/sample.parquet
304
- - split: 042_Predict
305
- path: data/042_Predict/sample.parquet
306
- - split: 043_Predict
307
- path: data/043_Predict/sample.parquet
308
- - split: 044_IMDb
309
- path: data/044_IMDb/sample.parquet
310
- - split: 045_Predict
311
- path: data/045_Predict/sample.parquet
312
- - split: "046_120"
313
- path: data/046_120/sample.parquet
314
- - split: 047_Bank
315
- path: data/047_Bank/sample.parquet
316
- - split: 048_Data
317
- path: data/048_Data/sample.parquet
318
- - split: 049_Boris
319
- path: data/049_Boris/sample.parquet
320
- - split: 050_ING
321
- path: data/050_ING/sample.parquet
322
- - split: 051_Pokemon
323
- path: data/051_Pokemon/sample.parquet
324
- - split: 052_Professional
325
- path: data/052_Professional/sample.parquet
326
- - split: 053_Patents
327
- path: data/053_Patents/sample.parquet
328
- - split: 054_Joe
329
- path: data/054_Joe/sample.parquet
330
- - split: 055_German
331
- path: data/055_German/sample.parquet
332
- - split: 056_Emoji
333
- path: data/056_Emoji/sample.parquet
334
- - split: 057_Spain
335
- path: data/057_Spain/sample.parquet
336
- - split: 058_US
337
- path: data/058_US/sample.parquet
338
- - split: 059_Second
339
- path: data/059_Second/sample.parquet
340
- - split: 060_Bakery
341
- path: data/060_Bakery/sample.parquet
342
- - split: 061_Disneyland
343
- path: data/061_Disneyland/sample.parquet
344
- - split: 062_Trump
345
- path: data/062_Trump/sample.parquet
346
- - split: 063_Influencers
347
- path: data/063_Influencers/sample.parquet
348
- - split: 064_Clustering
349
- path: data/064_Clustering/sample.parquet
350
- - split: 065_RFM
351
- path: data/065_RFM/sample.parquet
352
  - config_name: semeval
353
  data_files:
354
  - split: train
 
79
  - data/063_Influencers/qa.parquet
80
  - data/064_Clustering/qa.parquet
81
  - data/065_RFM/qa.parquet
82
+ - config_name: 001_Forbes
83
  data_files:
84
  - split: full
85
+ path: data/001_Forbes/all.parquet
86
  - split: lite
87
+ path: data/001_Forbes/sample.parquet
88
+ - config_name: 002_Titanic
89
  data_files:
90
+ - split: full
 
 
91
  path: data/002_Titanic/all.parquet
92
+ - split: lite
93
+ path: data/002_Titanic/sample.parquet
94
+ - config_name: 003_Love
95
+ data_files:
96
+ - split: full
97
  path: data/003_Love/all.parquet
98
+ - split: lite
99
+ path: data/003_Love/sample.parquet
100
+ - config_name: 004_Taxi
101
+ data_files:
102
+ - split: full
103
  path: data/004_Taxi/all.parquet
104
+ - split: lite
105
+ path: data/004_Taxi/sample.parquet
106
+ - config_name: 005_NYC
107
+ data_files:
108
+ - split: full
109
  path: data/005_NYC/all.parquet
110
+ - split: lite
111
+ path: data/005_NYC/sample.parquet
112
+ - config_name: 006_London
113
+ data_files:
114
+ - split: full
115
  path: data/006_London/all.parquet
116
+ - split: lite
117
+ path: data/006_London/sample.parquet
118
+ - config_name: 007_Fifa
119
+ data_files:
120
+ - split: full
121
  path: data/007_Fifa/all.parquet
122
+ - split: lite
123
+ path: data/007_Fifa/sample.parquet
124
+ - config_name: 008_Tornados
125
+ data_files:
126
+ - split: full
127
  path: data/008_Tornados/all.parquet
128
+ - split: lite
129
+ path: data/008_Tornados/sample.parquet
130
+ - config_name: 009_Central
131
+ data_files:
132
+ - split: full
133
  path: data/009_Central/all.parquet
134
+ - split: lite
135
+ path: data/009_Central/sample.parquet
136
+ - config_name: 010_ECommerce
137
+ data_files:
138
+ - split: full
139
  path: data/010_ECommerce/all.parquet
140
+ - split: lite
141
+ path: data/010_ECommerce/sample.parquet
142
+ - config_name: 011_SF
143
+ data_files:
144
+ - split: full
145
  path: data/011_SF/all.parquet
146
+ - split: lite
147
+ path: data/011_SF/sample.parquet
148
+ - config_name: 012_Heart
149
+ data_files:
150
+ - split: full
151
  path: data/012_Heart/all.parquet
152
+ - split: lite
153
+ path: data/012_Heart/sample.parquet
154
+ - config_name: 013_Roller
155
+ data_files:
156
+ - split: full
157
  path: data/013_Roller/all.parquet
158
+ - split: lite
159
+ path: data/013_Roller/sample.parquet
160
+ - config_name: 014_Airbnb
161
+ data_files:
162
+ - split: full
163
  path: data/014_Airbnb/all.parquet
164
+ - split: lite
165
+ path: data/014_Airbnb/sample.parquet
166
+ - config_name: 015_Food
167
+ data_files:
168
+ - split: full
169
  path: data/015_Food/all.parquet
170
+ - split: lite
171
+ path: data/015_Food/sample.parquet
172
+ - config_name: 016_Holiday
173
+ data_files:
174
+ - split: full
175
  path: data/016_Holiday/all.parquet
176
+ - split: lite
177
+ path: data/016_Holiday/sample.parquet
178
+ - config_name: 017_Hacker
179
+ data_files:
180
+ - split: full
181
  path: data/017_Hacker/all.parquet
182
+ - split: lite
183
+ path: data/017_Hacker/sample.parquet
184
+ - config_name: 018_Staff
185
+ data_files:
186
+ - split: full
187
  path: data/018_Staff/all.parquet
188
+ - split: lite
189
+ path: data/018_Staff/sample.parquet
190
+ - config_name: 019_Aircraft
191
+ data_files:
192
+ - split: full
193
  path: data/019_Aircraft/all.parquet
194
+ - split: lite
195
+ path: data/019_Aircraft/sample.parquet
196
+ - config_name: 020_Real
197
+ data_files:
198
+ - split: full
199
  path: data/020_Real/all.parquet
200
+ - split: lite
201
+ path: data/020_Real/sample.parquet
202
+ - config_name: 021_Telco
203
+ data_files:
204
+ - split: full
205
  path: data/021_Telco/all.parquet
206
+ - split: lite
207
+ path: data/021_Telco/sample.parquet
208
+ - config_name: 022_Airbnbs
209
+ data_files:
210
+ - split: full
211
  path: data/022_Airbnbs/all.parquet
212
+ - split: lite
213
+ path: data/022_Airbnbs/sample.parquet
214
+ - config_name: 023_Climate
215
+ data_files:
216
+ - split: full
217
  path: data/023_Climate/all.parquet
218
+ - split: lite
219
+ path: data/023_Climate/sample.parquet
220
+ - config_name: 024_Salary
221
+ data_files:
222
+ - split: full
223
  path: data/024_Salary/all.parquet
224
+ - split: lite
225
+ path: data/024_Salary/sample.parquet
226
+ - config_name: 025_Data
227
+ data_files:
228
+ - split: full
229
  path: data/025_Data/all.parquet
230
+ - split: lite
231
+ path: data/025_Data/sample.parquet
232
+ - config_name: 026_Predicting
233
+ data_files:
234
+ - split: full
235
  path: data/026_Predicting/all.parquet
236
+ - split: lite
237
+ path: data/026_Predicting/sample.parquet
238
+ - config_name: 027_Supermarket
239
+ data_files:
240
+ - split: full
241
  path: data/027_Supermarket/all.parquet
242
+ - split: lite
243
+ path: data/027_Supermarket/sample.parquet
244
+ - config_name: 028_Predict
245
+ data_files:
246
+ - split: full
247
  path: data/028_Predict/all.parquet
248
+ - split: lite
249
+ path: data/028_Predict/sample.parquet
250
+ - config_name: 029_NYTimes
251
+ data_files:
252
+ - split: full
253
  path: data/029_NYTimes/all.parquet
254
+ - split: lite
255
+ path: data/029_NYTimes/sample.parquet
256
+ - config_name: 030_Professionals
257
+ data_files:
258
+ - split: full
259
  path: data/030_Professionals/all.parquet
260
+ - split: lite
261
+ path: data/030_Professionals/sample.parquet
262
+ - config_name: 031_Trustpilot
263
+ data_files:
264
+ - split: full
265
  path: data/031_Trustpilot/all.parquet
266
+ - split: lite
267
+ path: data/031_Trustpilot/sample.parquet
268
+ - config_name: 032_Delicatessen
269
+ data_files:
270
+ - split: full
271
  path: data/032_Delicatessen/all.parquet
272
+ - split: lite
273
+ path: data/032_Delicatessen/sample.parquet
274
+ - config_name: 033_Employee
275
+ data_files:
276
+ - split: full
277
  path: data/033_Employee/all.parquet
278
+ - split: lite
279
+ path: data/033_Employee/sample.parquet
280
+ - config_name: 034_World
281
+ data_files:
282
+ - split: full
283
  path: data/034_World/all.parquet
284
+ - split: lite
285
+ path: data/034_World/sample.parquet
286
+ - config_name: 035_Billboard
287
+ data_files:
288
+ - split: full
289
  path: data/035_Billboard/all.parquet
290
+ - split: lite
291
+ path: data/035_Billboard/sample.parquet
292
+ - config_name: 036_US
293
+ data_files:
294
+ - split: full
295
  path: data/036_US/all.parquet
296
+ - split: lite
297
+ path: data/036_US/sample.parquet
298
+ - config_name: 037_Ted
299
+ data_files:
300
+ - split: full
301
  path: data/037_Ted/all.parquet
302
+ - split: lite
303
+ path: data/037_Ted/sample.parquet
304
+ - config_name: 038_Stroke
305
+ data_files:
306
+ - split: full
307
  path: data/038_Stroke/all.parquet
308
+ - split: lite
309
+ path: data/038_Stroke/sample.parquet
310
+ - config_name: 039_Happy
311
+ data_files:
312
+ - split: full
313
  path: data/039_Happy/all.parquet
314
+ - split: lite
315
+ path: data/039_Happy/sample.parquet
316
+ - config_name: 040_Speed
317
+ data_files:
318
+ - split: full
319
  path: data/040_Speed/all.parquet
320
+ - split: lite
321
+ path: data/040_Speed/sample.parquet
322
+ - config_name: 041_Airline
323
+ data_files:
324
+ - split: full
325
  path: data/041_Airline/all.parquet
326
+ - split: lite
327
+ path: data/041_Airline/sample.parquet
328
+ - config_name: 042_Predict
329
+ data_files:
330
+ - split: full
331
  path: data/042_Predict/all.parquet
332
+ - split: lite
333
+ path: data/042_Predict/sample.parquet
334
+ - config_name: 043_Predict
335
+ data_files:
336
+ - split: full
337
  path: data/043_Predict/all.parquet
338
+ - split: lite
339
+ path: data/043_Predict/sample.parquet
340
+ - config_name: 044_IMDb
341
+ data_files:
342
+ - split: full
343
  path: data/044_IMDb/all.parquet
344
+ - split: lite
345
+ path: data/044_IMDb/sample.parquet
346
+ - config_name: 045_Predict
347
+ data_files:
348
+ - split: full
349
  path: data/045_Predict/all.parquet
350
+ - split: lite
351
+ path: data/045_Predict/sample.parquet
352
+ - config_name: "046_120"
353
+ data_files:
354
+ - split: full
355
  path: data/046_120/all.parquet
356
+ - split: lite
357
+ path: data/046_120/sample.parquet
358
+ - config_name: 047_Bank
359
+ data_files:
360
+ - split: full
361
  path: data/047_Bank/all.parquet
362
+ - split: lite
363
+ path: data/047_Bank/sample.parquet
364
+ - config_name: 048_Data
365
+ data_files:
366
+ - split: full
367
  path: data/048_Data/all.parquet
368
+ - split: lite
369
+ path: data/048_Data/sample.parquet
370
+ - config_name: 049_Boris
371
+ data_files:
372
+ - split: full
373
  path: data/049_Boris/all.parquet
374
+ - split: lite
375
+ path: data/049_Boris/sample.parquet
376
+ - config_name: 050_ING
377
+ data_files:
378
+ - split: full
379
  path: data/050_ING/all.parquet
380
+ - split: lite
381
+ path: data/050_ING/sample.parquet
382
+ - config_name: 051_Pokemon
383
+ data_files:
384
+ - split: full
385
  path: data/051_Pokemon/all.parquet
386
+ - split: lite
387
+ path: data/051_Pokemon/sample.parquet
388
+ - config_name: 052_Professional
389
+ data_files:
390
+ - split: full
391
  path: data/052_Professional/all.parquet
392
+ - split: lite
393
+ path: data/052_Professional/sample.parquet
394
+ - config_name: 053_Patents
395
+ data_files:
396
+ - split: full
397
  path: data/053_Patents/all.parquet
398
+ - split: lite
399
+ path: data/053_Patents/sample.parquet
400
+ - config_name: 054_Joe
401
+ data_files:
402
+ - split: full
403
  path: data/054_Joe/all.parquet
404
+ - split: lite
405
+ path: data/054_Joe/sample.parquet
406
+ - config_name: 055_German
407
+ data_files:
408
+ - split: full
409
  path: data/055_German/all.parquet
410
+ - split: lite
411
+ path: data/055_German/sample.parquet
412
+ - config_name: 056_Emoji
413
+ data_files:
414
+ - split: full
415
  path: data/056_Emoji/all.parquet
416
+ - split: lite
417
+ path: data/056_Emoji/sample.parquet
418
+ - config_name: 057_Spain
419
+ data_files:
420
+ - split: full
421
  path: data/057_Spain/all.parquet
422
+ - split: lite
423
+ path: data/057_Spain/sample.parquet
424
+ - config_name: 058_US
425
+ data_files:
426
+ - split: full
427
  path: data/058_US/all.parquet
428
+ - split: lite
429
+ path: data/058_US/sample.parquet
430
+ - config_name: 059_Second
431
+ data_files:
432
+ - split: full
433
  path: data/059_Second/all.parquet
434
+ - split: lite
435
+ path: data/059_Second/sample.parquet
436
+ - config_name: 060_Bakery
437
+ data_files:
438
+ - split: full
439
  path: data/060_Bakery/all.parquet
440
+ - split: lite
441
+ path: data/060_Bakery/sample.parquet
442
+ - config_name: 061_Disneyland
443
+ data_files:
444
+ - split: full
445
  path: data/061_Disneyland/all.parquet
446
+ - split: lite
447
+ path: data/061_Disneyland/sample.parquet
448
+ - config_name: 062_Trump
449
+ data_files:
450
+ - split: full
451
  path: data/062_Trump/all.parquet
452
+ - split: lite
453
+ path: data/062_Trump/sample.parquet
454
+ - config_name: 063_Influencers
455
+ data_files:
456
+ - split: full
457
  path: data/063_Influencers/all.parquet
458
+ - split: lite
459
+ path: data/063_Influencers/sample.parquet
460
+ - config_name: 064_Clustering
461
+ data_files:
462
+ - split: full
463
  path: data/064_Clustering/all.parquet
464
+ - split: lite
465
+ path: data/064_Clustering/sample.parquet
466
+ - config_name: 065_RFM
467
+ data_files:
468
+ - split: full
469
  path: data/065_RFM/all.parquet
470
+ - split: lite
471
+ path: data/065_RFM/sample.parquet
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
472
  - config_name: semeval
473
  data_files:
474
  - split: train